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TitleModelling and Optimisation of Laser Assisted Oxygen (LASOX) Cutting: A Soft Computing Based Approach [electronic resource] / by Sudipto Chaki, Sujit Ghosal
ImprintCham : Springer International Publishing : Imprint: Springer, 2019
Connect tohttps://doi.org/10.1007/978-3-030-04903-4
Descript IX, 56 p. online resource

SUMMARY

This book presents the basics of the Laser Assisted Oxygen (LASOX) cutting process, its development, advantages and shortcomings, together with detailed information on the research work carried out to date regarding the modelling and optimization of the process. It introduces two integrated soft computing-based models consisting of Artificial Neural Networks (ANN-GA and ANN SA) for the modelling and optimization of LASOX cutting. It also includes an in-depth discussion on the basic working algorithms of soft computing tools such as Artificial Neural Networks, Genetic Algorithms, Simulated Annealing etc. The book not only provides an approach to optimizing LASOX by means of soft computing-based integrated models, but also illustrates the practical implementation of the proposed models


CONTENT

Preface -- Chapter 1. LASOX Cutting: Principles and Evolution -- Chapter 2. Integrated Soft Computing Based Methodologies for Modelling -- Chapter 3. Modelling and Optimisation of LASOX Cutting of Mild Steel: A Case Study


Engineering Manufactures Artificial intelligence Computational Intelligence. http://scigraph.springernature.com/things/product-market-codes/T11014 Manufacturing Machines Tools Processes. http://scigraph.springernature.com/things/product-market-codes/T22050 Artificial Intelligence. http://scigraph.springernature.com/things/product-market-codes/I21000



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